{"id":"W2186182930","doi":"10.1109/modre.2015.7343873","title":"Combining ontologies for requirements elicitation","year":2015,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Requirements elicitation; Computer science; Ontology; IDEF5; Process ontology; Software engineering; Requirements management; Domain (mathematical analysis); Process (computing); Requirements engineering; Variety (cybernetics); Field (mathematics); Requirements analysis; Domain knowledge; Artificial intelligence; Software; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002050124,0.00007377545,0.00008173021,0.00006044936,0.00006652873,0.00008705279,0.0005140809,0.00002836697,0.000001816659],"category_scores_gemma":[0.0000205891,0.00005847454,0.00002676825,0.00016855,0.000008872873,0.0004001371,0.0001244446,0.00003038372,0.00002360341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001644392,"about_ca_system_score_gemma":0.00003582592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001115076,"about_ca_topic_score_gemma":0.0001677051,"domain_scores_codex":[0.9993117,0.0000213655,0.0001274431,0.0001995265,0.0001639713,0.0001759438],"domain_scores_gemma":[0.9994015,0.00009106746,0.00004967045,0.0002507178,0.0001406274,0.0000664912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004801474,0.0001147747,0.003014378,0.00005082995,0.00005091943,0.000003536351,0.01784393,0.0004722028,0.001743137,0.8455248,0.005088208,0.1260452],"study_design_scores_gemma":[0.005871826,0.001807777,0.005713533,0.00008941368,0.00003446081,0.00002056979,0.007609454,0.2471137,0.03544148,0.5217496,0.1735215,0.001026686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03802356,0.00007241163,0.9337797,0.002785337,0.0006218374,0.0002080549,7.01872e-7,0.0003488122,0.02415962],"genre_scores_gemma":[0.8013151,0.000001287539,0.1952653,0.003132819,0.00005085183,0.00003446071,0.000007811211,0.000004953281,0.0001873835],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7632915,"threshold_uncertainty_score":0.2384523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09159177297196505,"score_gpt":0.3220085804322452,"score_spread":0.2304168074602802,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}